tenoji33 — CS2 Stats
76561199028440193[U:1:1068174465]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side opener
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like ropz 92% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower opening-duel success.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Strengths
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 55% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 561ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| B | 25 | 13–12 | 52% | 0.02 | |
| B | 15 | 8–7 | 53% | -0.02 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| S | 9 | 6–3 | 67% | 0.06 | |
| C | 8 | 3–5 | 38% | 0.02 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| A | 8 | 5–3 | 63% | 0.06 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| — | 4 | 1–3 | 25% | -0.00 | |
| office | — | 4 | 3–1 | 75% | 0.05 |
| — | 1 | 1–0 | 100% | 0.24 | |
| alpine | — | 1 | 0–1 | 0% | 0.01 |
| grail | — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1044 | 55% | 1.28 | 17.1 |
| Ancient | 579 | 49% | 1.17 | 16.4 |
| Anubis | 558 | 53% | 1.22 | 16.3 |
| Dust2 | 404 | 52% | 1.21 | 16.3 |
| Nuke | 176 | 50% | 1.12 | 15.4 |
| Vertigo | 165 | 50% | 1.30 | 17.5 |
| Overpass | 117 | 55% | 1.29 | 16.6 |
| Inferno | 61 | 51% | 1.20 | 15.9 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.476 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 28.7071% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.07 | 29% | 24 Aug → | ||
| 8–13 | -0.05 | 22% | 13 Aug → | ||
| 13–4 | 0.03 | 23% | 12 Aug → | ||
| 2–13 | -0.05 | 23% | 11 Aug → | ||
| 13–16 | 0.04 | 25% | 10 Aug → | ||
| 10–13 | -0.08 | 28% | 9 Aug → | ||
| 7–13 | -0.06 | 22% | 5 Aug → | ||
| 13–7 | 0.04 | 23% | 28 Jul → | ||
| 13–4 | -0.03 | 16% | 14 Jul → | ||
| 0–6 | 0.07 | 71% | 8 Jul → | ||
| 9–13 | 0.01 | 26% | 7 Jul → | ||
| 12–12 | 0.07 | 32% | 7 Jul → | ||
| 13–11 | -0.01 | 32% | 7 Jul → | ||
| 13–4 | 0.02 | 26% | 3 Jul → | ||
| 13–7 | -0.06 | 9% | 1 Jul → | ||
| 13–3 | 0.05 | 39% | 16 Jun → | ||
| 1–7 | -0.04 | 43% | 14 Jun → | ||
| 13–4 | 0.05 | 33% | 1 Jun → | ||
| 6–13 | -0.08 | 19% | 24 May → | ||
| 13–1 | 0.11 | 40% | 22 May → | ||
| 10–13 | -0.06 | 22% | 8 May → | ||
| 3–4 | -0.06 | 14% | 4 May → | ||
| 13–3 | 0.03 | 37% | 3 May → | ||
| 13–8 | 0.07 | 42% | 1 May → | ||
| 7–13 | 0.02 | 34% | 30 Apr → | ||
| 13–5 | 0.06 | 26% | 22 Apr → | ||
| 11–13 | -0.04 | 26% | 21 Apr → | ||
| 13–7 | -0.02 | 28% | 17 Apr → | ||
| 13–0 | 0.24 | 22% | 11 Apr → | ||
| 5–13 | -0.03 | 7% | 10 Apr → | ||
| 6–13 | 0.00 | 20% | 6 Apr → | ||
| 11–13 | 0.04 | 30% | 1 Apr → | ||
| 13–11 | -0.00 | 18% | 27 Mar → | ||
| 10–13 | 0.01 | 27% | 27 Mar → | ||
| 13–6 | -0.01 | 12% | 27 Mar → | ||
| alpine | 7–13 | 0.01 | 17% | 25 Mar → | |
| 2–1 | -0.02 | 33% | 14 Mar → | ||
| 9–3 | 0.06 | 13% | 13 Mar → | ||
| 13–10 | -0.04 | 27% | 2 Mar → | ||
| 13–9 | 0.11 | 48% | 26 Feb → | ||
| 13–4 | 0.03 | 29% | 15 Feb → | ||
| 11–13 | -0.02 | 28% | 15 Feb → | ||
| 7–13 | 0.02 | 36% | 14 Feb → | ||
| 6–13 | -0.05 | 28% | 29 Jan → | ||
| 10–13 | -0.10 | 26% | 7 Jan → | ||
| 2–13 | -0.00 | 29% | 7 Jan → | ||
| 13–6 | 0.03 | 33% | 3 Jan → | ||
| 13–11 | 0.04 | 50% | 25 Dec → | ||
| office | 11–13 | 0.02 | 45% | 25 Dec → | |
| 13–5 | 0.05 | 34% | 25 Dec → | ||
| 3–13 | -0.03 | 15% | 21 Dec → | ||
| 19–15 | 0.01 | 16% | 19 Dec → | ||
| office | 13–4 | 0.05 | 34% | 1 Dec → | |
| 7–13 | 0.00 | 48% | 25 Nov → | ||
| 13–11 | 0.05 | 17% | 24 Nov → | ||
| 10–13 | 0.08 | 24% | 24 Nov → | ||
| 10–13 | 0.11 | 43% | 6 Nov → | ||
| 9–13 | -0.03 | 35% | 2 Nov → | ||
| 13–2 | 0.01 | 27% | 2 Nov → | ||
| 6–13 | -0.01 | 16% | 2 Nov → | ||
| 13–7 | -0.02 | 12% | 2 Nov → | ||
| 9–13 | -0.03 | 18% | 25 Oct → | ||
| 13–9 | 0.02 | 24% | 8 Oct → | ||
| office | 13–2 | 0.04 | 26% | 3 Oct → | |
| office | 13–8 | 0.07 | 41% | 3 Oct → | |
| 13–9 | 0.00 | 30% | 27 Sept → | ||
| 22–18 | 0.01 | 28% | 27 Sept → | ||
| 11–13 | 0.09 | 31% | 26 Sept → | ||
| 13–2 | 0.08 | 56% | 26 Sept → | ||
| 13–9 | 0.06 | 41% | 26 Sept → | ||
| 13–16 | 0.04 | 14% | 24 Sept → | ||
| 12–12 | 0.02 | 28% | 17 Sept → | ||
| 13–3 | -0.00 | 22% | 14 Sept → | ||
| 5–13 | 0.04 | 27% | 13 Sept → | ||
| 13–8 | 0.02 | 23% | 11 Sept → | ||
| 13–7 | 0.12 | 33% | 10 Sept → | ||
| 4–13 | -0.00 | 20% | 10 Sept → | ||
| 13–10 | -0.02 | 18% | 2 Sept → | ||
| 13–5 | 0.09 | 20% | 2 Sept → | ||
| 13–8 | 0.02 | 28% | 2 Sept → | ||
| 12–16 | -0.03 | 20% | 31 Aug → | ||
| 13–10 | 0.09 | 28% | 28 Aug → | ||
| 7–13 | 0.03 | 32% | 27 Aug → | ||
| 13–5 | -0.04 | 7% | 26 Aug → | ||
| 12–12 | 0.08 | 35% | 21 Aug → | ||
| 5–13 | 0.02 | 31% | 21 Aug → | ||
| 20–22 | -0.04 | 22% | 6 Aug → | ||
| 18–22 | -0.03 | 18% | 4 Aug → | ||
| 13–9 | -0.01 | 27% | 28 Jul → | ||
| 13–3 | 0.09 | 18% | 28 Jul → | ||
| 10–13 | 0.04 | 15% | 23 Jul → | ||
| 13–6 | -0.01 | 18% | 17 Jul → | ||
| 6–13 | -0.06 | 31% | 12 Jul → | ||
| grail | 13–7 | 0.08 | 32% | 8 Jul → | |
| 13–1 | 0.11 | 38% | 8 Jul → | ||
| 13–8 | 0.01 | 22% | 5 Jul → | ||
| 13–7 | 0.09 | 27% | 26 Jun → | ||
| 10–13 | 0.02 | 25% | 25 Jun → | ||
| 6–13 | -0.01 | 20% | 25 Jun → | ||
| 16–12 | 0.02 | 17% | 24 Jun → |
Match data via Leetify.